PV-grid Performance improvement through Integrated Intelligent Water Drop Optimization with Neural Network for Maximum Power Point Tracking
A Digital Healthcare Monitoring System with Real-Time Analysis
Advancements in Smart Meter Design and Integration for Enhanced Energy Management and Efficiency
Electric Vehicles in Modern Transportation: Environmental Impacts, Configurations, and Future Trends – A Review
GTO Technique Based Hybrid Power System Controller Design
Design and Development Of Paddy Cutter Using Solar Energy
Design Of Double-Input DC-DC Converter (DIC) Solar PV-Battery Hybrid Power System
Comparison of Harmonics, THD and Temperature Analysis of 3-Phase Induction Motor with Normal Inverter Drive and 5-Level DCMI Drive
Application of Whale Optimization Algorithm for Distribution Feeder Reconfiguration
Detection and Classification of Single Line to Ground Boundary Faults in a 138 kV Six Phase Transmission Line using Hilbert Huang Transform
The Modeling of Analogue Systems through an Object-Oriented Design Method
Circuit Design Techniques for Electromagnetic Compliance
A Technological Forecast for Growth in Solid-State Commercial Lighting using LED Devices
Testing of Analogue Design Rules Using a Digital Interface
Simulation and Transient Analysis of PWM Inverter Fed Squirrel Cage Induction Motor Drives
India's electric car market is growing at a slower pace than other countries. The main issues confronting the EV market are a lack of charging stations, majority of components and batteries being imported from other countries, raising the cost of EVs, concerns about vehicle fuel and whether they can reach their destination, and inconsistent policies. However, much research is being done to build batteries with the highest power and energy densities feasible, but these batteries are expensive. However, as battery technology progresses to the point that it can be used in all applications where lead-acid batteries are currently the most common, their prices will naturally fall. This paper compares and contrasts several battery technologies, as well as current advancements. This study gives knowledge over the factors to consider before using an EV or Hybrid Electric Vehicle (HEV).
Converter IGBT valve plays a vital role in deciding the efficiency and reliability of the UPFC. The efficiency of UPFC is a function of Thermal losses, conduction losses, and switching losses that occur in the IGBT valve. Junction temperature influences the failure rate of the converter valves, which in turn affects the reliability of the converter. A novel technique to evaluate specific valve failure rate, by directly considering the thermal losses that impact on the failure rate, is proposed and implemented for 48 pulse converter-based UPFC. Adaptability to any power electronic valve- based applications, to quantify the valve failure rate, is the significance of the proposed technique. A case study of converter leg with two IGBT valves operating at 12000 Hz, GT30F123 part number is simulated in Piecewise Linear Electrical Circuit Simulation (PLECS). Switching losses, conduction losses, and thermal losses are evaluated by referring to the switching characteristics obtained by PLECS, and the simulation results are validated with analytical values. Reliability Indices such as the probability of attaining hundred percent, fifty percent, and zero percent operating modes are evaluated. Based on probabilities, the frequency of attaining the state probabilities and Mean Time To Failures (MTTF) are derived by developing the Markov model. The quantitative analysis of the thermal losses, failure rate, and lifetime of the UPFC provides a comprehensive picture of the UPFC performance. The proposed valve failure rate evaluation method is more accurate than analytical valve failure rate evaluation techniques.
A design of a single-phase bidirectional AC-DC converter and bidirectional DC-DC converter is presented in this study to transmit electrical power from the grid to an electric vehicle (EV) and from an EV to the grid while maintaining the grid's increased power factor. A single-phase bidirectional AC-DC converter is utilised to convert a 230 V 50 Hz AC supply to 380V dc in the first stage, and a bidirectional buck-boost dc-dc converter is used to charge and discharge the PHEV's battery in the second stage (Plug-in Hybrid Electric Vehicle). It discharges electricity back to the grid at 230V, 50 Hz in discharging mode. In a PHEV, a battery with a charging power of 1.2 kW at 120V is employed. The buck-boost DC-DC converter charges and discharges the battery in buck and boost modes, respectively. The charging current and voltage are controlled using a proportional-integral (PI) controller. The efficacy of the suggested algorithm and the system's practicality is confirmed by simulation results.
Need for power could be addressed by non – conventional resources since conventional resources are rapidly depleting. Among the non - conventional resources, solar energy has been proven for clean energy generation and is one of the fastest-growing forces in the market because of the decreasing trend of cost and also nowadays there are several major directions for solar technology development. Furthermore, by determining the amount of malfunctioning modules and strings, it is possible to avoid power loss. Thus, in order to address these issues, a novel approach is presented to discern between faults and partially shaded circumstances, as well as the number of mismatch modules and strings, when the irradiation is changed dynamically. Increased demand for power through solar sources made us think of remote identification of Faults in Solar panel and their isolation. In this paper, we present the automatic detection of faults in solar panels and further we present the remote isolation of faulty solar panels. The proposed system works based on the solar panel output voltage. The panel voltage will be monitored continuously through the Internet of Things (IoT), and whenever the output voltage becomes more/less than the prescribed/set value due to any of the faults, the respective panel gets isolated from the system. This paper helps in early fault detection and real-time diagnostic and also contributes to avoiding loss of energy, equipment damage and safety hazards.
This paper proposes charging E-vehicle by utilizing the Solar panels, accessible by IoT gadget utilizing the MPPT regulator. The entire arrangement is associated with the Arduino UNO R3, and the battery level produced, and the measure of the battery can be seen utilizing a LCD. IoT modem is utilized to get an alarm message for any decrease of power in the framework. The accessibility status of charge, the measure of force moved to the charging module and the accessible area for the charging station are shown. The fundamental thought behind this paper is to lessen ozone depleting substance outflow and petroleum products.
